Data Structures and Algorithms With Python by Kent D. Lee, Steve Hubbard

By Kent D. Lee, Steve Hubbard

This textbook explains the techniques and strategies required to write down courses that could deal with quite a lot of information successfully. Project-oriented and classroom-tested, the ebook offers a couple of vital algorithms supported by means of examples that carry desiring to the issues confronted by way of laptop programmers. the belief of computational complexity is usually brought, demonstrating what can and can't be computed successfully in order that the programmer could make trained decisions in regards to the algorithms they use. good points: comprises either introductory and complicated facts constructions and algorithms issues, with instructed bankruptcy sequences for these respective classes supplied within the preface; offers studying objectives, assessment questions and programming routines in each one bankruptcy, in addition to various illustrative examples; deals downloadable courses and supplementary documents at an linked web site, with teacher fabrics to be had from the writer; provides a primer on Python for these from a distinct language background.

From the again Cover

This truly established and straightforward to learn textbook explains the ideas and methods required to put in writing courses which may deal with quite a lot of info efficiently.

Project-oriented and classroom-tested, the e-book provides a couple of vital algorithms supported through motivating examples that deliver intending to the issues confronted by means of laptop programmers. the belief of computational complexity is usually brought, demonstrating what can and can't be computed successfully in order that the programmer could make trained decisions concerning the algorithms they use. The textual content assumes a few uncomplicated adventure in computing device programming and familiarity in an object-oriented language, yet no longer inevitably with Python.

Topics and features:

Includes either introductory and complicated facts constructions and algorithms subject matters, with prompt bankruptcy sequences for these respective classes supplied within the preface
Provides studying targets, evaluation questions and programming routines in each one bankruptcy, in addition to a variety of illustrative examples
Offers downloadable courses and supplementary records at an linked site, with teacher fabrics to be had from the author
Presents a primer on Python for these coming from a distinct language background
Reviews using hashing in units and maps, besides an exam of binary seek bushes and tree traversals, and fabric on intensity first seek of graphs
Discusses themes compatible for a complicated direction, reminiscent of club buildings, tons, balanced binary seek bushes, B-trees and heuristic search
Students of computing device technological know-how will locate this transparent and concise textbook to be important for undergraduate classes on information buildings and algorithms, at either introductory and complicated degrees. The ebook can be compatible as a refresher advisor for laptop programmers beginning new jobs operating with Python.

About the Author

Dr. Kent D. Lee is Professor of desktop technology at Luther university, Decorah, Iowa, united states. he's the writer of the winning Springer textbook Python Programming basics and the approaching Foundations of Programming Languages.

Dr. Steve Hubbard is Professor of arithmetic and machine technological know-how at Luther collage.

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Calling getElementsByTagName on GraphicsCommands returns a list of all elements that match this tag name. Since we know there is only one of these tags in the file, we can write [0] to get the first element from the list. Then, the graphicsCommands element contains just the one element from the file and all the Command elements of the file are located within it. If we want to go through all these elements we can use a for loop as in the code in Sect. 1. append(cmd) In the code in Sect. e. keys) to their associated values.

Understand the Accumulator pattern and how to use it in a program. • know how to implement a simple GUI using Tkinter in Python. Entry boxes, labels, buttons, frames, and event handlers should all be concepts that are understood and can be programmed by looking back at the examples in this chapter. • and finally you should know how to read and write XML files in your programs. There is a lot of example code in this chapter and the final version of the Draw program is provided on the text’s website or in Sect.

While it is doubtful you will be able to memorize each line of the code you found in this chapter, you should make sure you know how things work when you look at it and you should remember that you can use this chapter as a resource. Come back to it often when you need to see how to do something in later chapters. Using this example code as a reference will help to answer a lot of your questions in future chapters. 18 1 Python Programming 101 Review Questions Answer these short answer, multiple choice, and true/false questions to test your mastery of the chapter.

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